Accounting for training data error in machine learning applied to earth observations

A Elmes, H Alemohammad, R Avery, K Caylor… - Remote Sensing, 2020 - mdpi.com
Remote sensing, or Earth Observation (EO), is increasingly used to understand Earth system
dynamics and create continuous and categorical maps of biophysical properties and land …

A review of freely accessible global datasets for the study of floods, droughts and their interactions with human societies

S Lindersson, L Brandimarte, J Mård… - Wiley …, 2020 - Wiley Online Library
The availability of planetary‐scale geospatial datasets that can support the study of water‐
related disasters in the Anthropocene is rapidly growing. We review 124 global and free …

Key issues in rigorous accuracy assessment of land cover products

SV Stehman, GM Foody - Remote Sensing of Environment, 2019 - Elsevier
Accuracy assessment and land cover map** have been inexorably linked throughout the
first 50 years of publication of Remote Sensing of Environment. The earliest developers of …

Global forest management data for 2015 at a 100 m resolution

M Lesiv, D Schepaschenko, M Buchhorn, L See… - Scientific Data, 2022 - nature.com
Spatially explicit information on forest management at a global scale is critical for
understanding the status of forests, for planning sustainable forest management and …

[PDF][PDF] Опыт эксплуатации и развития центра коллективного пользования системами архивации, обработки и анализа спутниковых данных (ЦКП «ИКИ …

ЕА Лупян, АА Прошин, МА Бурцев… - … Земли из космоса, 2019 - researchgate.net
Предлагаемая статья посвящена описанию опыта эксплуатации и развития центра
коллективного пользования системами архивации, обработки и анализа спутниковых …

[HTML][HTML] Experience of development and operation of the IKI-Monitoring center for collective use of systems for archiving, processing and analyzing satellite data

EA Loupian, AA Proshin, MA Burtsev… - … Zemli iz kosmosa, 2019 - jr.rse.cosmos.ru
The proposed article is devoted to the description of the operating experience and the
development of the IKI-Monitoring center (http://ckp. geosmis. ru/) for the collective use of …

[HTML][HTML] Automatic classification of land cover from LUCAS in-situ landscape photos using semantic segmentation and a Random Forest model

L Martinez-Sanchez, L See, M Yordanov… - … Modelling & Software, 2024 - Elsevier
Spatially explicit information on land cover (LC) is commonly derived using remote sensing,
but the lack of training data still remains a major challenge for producing accurate LC …

[HTML][HTML] Detect, consolidate, delineate: Scalable map** of field boundaries using satellite images

F Waldner, FI Diakogiannis, K Batchelor… - Remote sensing, 2021 - mdpi.com
Digital agriculture services can greatly assist growers to monitor their fields and optimize
their use throughout the growing season. Thus, knowing the exact location of fields and their …

Recent advances in forest observation with visual interpretation of very high-resolution imagery

D Schepaschenko, L See, M Lesiv, JF Bastin… - Surveys in …, 2019 - Springer
The land area covered by freely available very high-resolution (VHR) imagery has grown
dramatically over recent years, which has considerable relevance for forest observation and …

Crowdsourcing in remote sensing: A review of applications and future directions

E Saralioglu, O Gungor - IEEE Geoscience and Remote …, 2020 - ieeexplore.ieee.org
The data obtained with remote sensing sensors are processed to fuel studies related to the
Earth's resources and environment. Sensor technologies being developed are increasing …